2026 Volume 44 Issue 3 Pages 113-119
In computer-aided diagnosis (CAD) systems, imaging artifacts may cause misdiagnosis which needs to be prevented from the trustworthiness viewpoint. In this tutorial article, we introduce an outlier-robust signal reconstruction technique that is expected to address this critical problem. We discuss a tradeoff between Tukey’s biweight loss and Huber’s loss functions used widely in robust estimation, and we then present the robust technique based on a mathematical formulation using a weakly convex loss function which is free from the tradeoff issue. This article targets those who are interested in signal processing techniques, aiming to serve as a trigger for studies of misdiagnosis prevention based on the robust signal reconstruction technique.
